Triple
T10067896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | POWER2 |
E213144
|
entity |
| Predicate | cacheOrganization |
P9924
|
FINISHED |
| Object | separate instruction and data cache support |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: separate instruction and data cache support | Statement: [POWER2, cacheOrganization, separate instruction and data cache support]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cacheOrganization Context triple: [POWER2, cacheOrganization, separate instruction and data cache support]
-
A.
caches
Indicates that one entity stores data or resources so they can be quickly retrieved for future use by another entity or process.
-
B.
cacheType
chosen
Indicates the specific kind or category of cache associated with an entity or operation.
-
C.
cacheWritePolicy
Indicates how data is written to and updated in a cache relative to the underlying storage (e.g., write-through, write-back, or write-around behavior).
-
D.
maintainOrganizationIn
Indicates that an entity is responsible for keeping an organization operating or existing within a specified location or context.
-
E.
memoryStrategy
Indicates the method or approach an entity uses to encode, store, or retrieve information from memory.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcff798bc8190a84af7bedea66f0a |
completed | April 2, 2026, 2:09 a.m. |
| PD | Predicate disambiguation | batch_69cd4b92573481909389bc6148ae7ea8 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:58 p.m.